We develop innovative algorithms, protocols and methodologies based on Artificial Intelligence, focusing on IoT data analytics, fog computing, edge computing, and complex event processing.
Research at the Artificial Intelligence of Things (AIoT) Lab aims to develop innovative algorithms, protocols and methodologies based on Artificial Intelligence, focusing on IoT data analytics, fog computing, edge computing, and complex event processing.
Our work facilitates data collection, data analysis, system design and presentation in the field of IoT. The lab collaborates with leading industry partners and research institutions including TUBITAK, ASELSAN, and Roketsan.
Led by Prof. Suat Özdemir at Hacettepe University's Department of Computer Engineering, our team brings together researchers from multiple Turkish universities to advance the frontiers of AI-driven networked systems.
Scalable technologies, architectures, and analytics frameworks for collecting, processing, monitoring, and deriving meaningful insights from large-scale sensor and device ecosystems.
Intelligent algorithms and AI-driven models for prediction, optimization, automation, and data analytics across IoT, healthcare, transportation, environmental monitoring, and financial systems.
Distributed computation architectures that bring AI processing closer to IoT data sources for reduced latency.
Secure data aggregation, privacy-preserving protocols, and threat detection for wireless sensor and IoT networks.
Fog-computing-based smart grid architectures with AI-driven energy management and privacy-preserving metering.
Federated & Distributed Learning for Collaborative Intelligence in Non-Terrestrial Networks (NTN)
Digital Twin-Driven Task Offloading for Next-Generation IoT Networks.
Real-time rule extraction and anomaly detection engines for heterogeneous IoT environments.